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| """ | |
| Helpers to inference with 16-bit precision. | |
| """ | |
| import torch.nn as nn | |
| def convert_module_to_f16(l): | |
| """ | |
| Convert primitive modules to float16. | |
| """ | |
| if isinstance(l, (nn.Conv1d, nn.Conv2d, nn.Conv3d)): | |
| l.weight.data = l.weight.data.half() | |
| if l.bias is not None: | |
| l.bias.data = l.bias.data.half() | |
| def convert_module_to_f32(l): | |
| """ | |
| Convert primitive modules to float32, undoing convert_module_to_f16(). | |
| """ | |
| if isinstance(l, (nn.Conv1d, nn.Conv2d, nn.Conv3d)): | |
| l.weight.data = l.weight.data.float() | |
| if l.bias is not None: | |
| l.bias.data = l.bias.data.float() | |